Urban Data Science at UW

Urban Data Science at UW

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  ß Urban Data Science@ UW
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  2 “It’s a greattime to be a data geek.” -- Roger Barga, Microsoft Research “The greatest minds of my generation are trying to figure out how to make people click on ads” -- Jeff Hammerbacher, co-founder, Cloudera
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  The Fourth Paradigm 1.Empirical + experimental 2. Theoretical 3. Computational 4. Data-Intensive Jim Gray 7/13/2015 Bill Howe, UW 3
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  “All across ourcampus, the process of discovery will increasingly rely on researchers’ ability to extract knowledge from vast amounts of data… In order to remain at the forefront, UW must be a leader in advancing these techniques and technologies, and in making [them] accessible to researchers in the broadest imaginable range of fields.” 2005-2008 In other words: • Data-driven discovery will be ubiquitous • UW must be a leader in inventing the capabilities • UW must be a leader in translational activities – in putting these capabilities to work • It’s about intellectual infrastructure (human capital) and software infrastructure (shared tools and services – digital capital)
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  A 5-year, US$37.8million cross-institutional collaboration to create a data science environment 5 2014
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  7/13/2015 Bill Howe,UW 7 Data Science Kickoff Session: 137 posters from 30+ departments and units
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  8 PIs on Moore/Sloaneffort + eScience Institute Steering Committee + UW participants in February 7 Data Science poster session Broad collaborations
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  Establish a virtuouscycle • 6 working groups, each with • 3-6 faculty from each institution
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  10 Assessing Community Well-Being Third-PlaceTechnologies Optimization of King County Metro Paratransit Computer Science & Engineering Predictors of Permanent Housing for Homeless Families Bill and Melinda Gates Foundation Open Sidewalk Graph for Accessible Trip Planning Electrical Engineering
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  11 1. Form aCity/University collaboration within their respective community memorialized in a Memorandum of Understanding; 2. Appoint a representative from each partner responsible for maintaining the collaboration; 3. Through the collaboration, identify and undertake at least three research, development and deployment projects within the coming year (by May 2016); 4. Participate as a founding member of the Metro Lab Network through workshops and other knowledge sharing activities (see Metro Lab Network SUMMARY).
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  Seattle crime mapusing open data, UW EE ugrad Jay Feng
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  13
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  14 Charlie Catlett
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  OneBusAway: Transit Traveler Information Systems AlanBorning Dept of Computer Science and Engineering University of Washington Design Use Build – University of Washington
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  University of Washington
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  University of Washington Usage Started as a grad student project by Brian Ferris and Kari Watkins; became their PhD dissertations  Over 100,000 unique weekly users in Puget Sound  Deployments in Atlanta, Tampa, versions in New York and Detroit; experimental deployment in Washington DC  Goal: OneBusAway Foundation to provide long-term stability and support
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  University of Washington 18